M.T. Martín

55 papers receiving 1.2k citations

Peers

M.T. Martín
Comparison fields: 5 of 134
  • Gastroenterology 203
  • Physiology 110
  • Family Practice 37
  • Statistical and Nonlinear Physics 152
  • Endocrine and Autonomic Systems 69
Replace Mohammad Shamim Imtiaz with:
Mohammad Shamim Imtiaz Australia
Y. Jack Kingma Canada
EE Daniel Canada
Sushil K. Sarna United States
Pavel Kučera Switzerland
Jianguo Liu China
Hédi Antoine Soula France
Ye Jin China
Kaori Ikeda Japan
Robert D. Purves New Zealand
M.T. Martín relative to Mohammad Shamim Imtiaz Australia Mohammad Shamim Imtiaz's profile →
Citations per field
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Mohammad Shamim Imtiaz · 1×
Citations per year

Countries citing papers authored by M.T. Martín

Since Specialization
Citations

This map shows the geographic impact of M.T. Martín's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.T. Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Martín more than expected).

Fields of papers citing papers by M.T. Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T. Martín. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.T. Martín. The network helps show where M.T. Martín may publish in the future.

Co-authors

The 25 scholars most cited alongside M.T. Martín, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.T. Martín Line = papers co-authored together M.T. Martín links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006174
2 201281
3 201378
4 200667
5 200964
6 200760
7 201059
8 201557
9 200651
10 200536
11 201336
12 201234
13 201534
14 200532
15 201330
16 201425
17 200425
18 199822
19 200420
20 201019

About M.T. Martín

M.T. Martín is a scholar working on Statistical and Nonlinear Physics, Gastroenterology, Cell Biology, Physiology and Animal Science and Zoology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (10 papers), Complex Systems and Time Series Analysis (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Neuropeptides and Animal Physiology (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Adenosine and Purinergic Signaling (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Gastroenterology (203 citations), Physiology (110 citations), Family Practice (37 citations), Statistical and Nonlinear Physics (152 citations) and Endocrine and Autonomic Systems (69 citations). M.T. Martín has collaborated with scholars based in Spain, Argentina and Germany. Frequent co-authors include Marcel Jiménez, Diana Gallego, Víctor A. Gil, Angelo Plastino, Osvaldo Anibal Rosso, A. Figliola, Noemí Mañé, M. Martínez‐Cutillas, Karsten Keller and Patri Vergara. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Life Sciences, Neurogastroenterology & Motility, American Journal of Physiology-Gastrointestinal and Liver Physiology and Pharmacological Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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